The Impact of Artificial Intelligence on Economic and Technical Dynamics in Contemporary Business Environments
The contemporary business environment, with the concept of integration of artificial intelligence (AI), has given way to radical changes from an economic and technical point of view in the traditional paradigm of functioning and competitive dynamics. The paper tries to delve critically into the multifarious impacts of AI across different dimensions of business, bringing clear view into the implications for economic growth, technology innovation, and organizational strategies in Isabela State University, Echague Campus. From an economic viewpoint, AI has come up as a potent enabler to drive productivity and gain in efficiency across industries. From allowing routine jobs to run on automatic execution, optimizing resource allocation, and making data-driven decisions, AI systems have certainly brought large improvement to economic output and rationalization of business processes. However, great concerns lie in job loss and the disparity of incomes. AI is hence replacing some forms of employment and also ushering in new venues for the highly skilled labor process of an AI-driven automation process. Technically, AI introduces a paradigm shift in the way businesses are done since it is innovatively led. Firms can help arrive at actionable insights derived from the troves of their data that help in predictive analytics, marketing strategies, and even the protocols for maintenance if they have a machine-learning algorithm in place. On the contrary, AI learning is flexible and self-optimizing, allowing growing the next revolution of autonomous systems that will bring the new era for enterprises to be agile and responsive. On the other hand, this increase in application has several issues related to data privacy, algorithmic bias, and regulatory compliance pointing toward the overriding need for deployment of AI ethically and framing governing frameworks.
Authors
- Jibea Kashmre Villanueva
Institutions
- Isabela State University (PH)
Publication Details
- Published
- 2024-11-23
- DOI
- https://doi.org/10.1109/icicat62666.2024.10923353
- Citations
- 1
- Primary Topic
- Economic and Technological Systems Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.73